Title: Enhanced automatic detection of human settlements using Sentinel-1 interferometric coherence
Authors: CORBAN CHRISTINALEMOINE GUIDOPESARESI MARTINOKEMPER THOMASSABO FILIPFERRI STEFANOSYRRIS VASILEIOS
Citation: INTERNATIONAL JOURNAL OF REMOTE SENSING vol. 39 no. 3 p. 842-853
Publisher: TAYLOR & FRANCIS LTD
Publication Year: 2018
JRC N°: JRC105278
ISSN: 0143-1161
URI: http://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1392642?journalCode=tres20
http://publications.jrc.ec.europa.eu/repository/handle/JRC105278
DOI: 10.1080/01431161.2017.1392642
Type: Articles in periodicals and books
Abstract: This article presents an experiment in which multi-temporal interferometric coherence calculated from 6-days Sentinel-1A and Sentinel-1B image pairs and backscatter intensity σ° are jointly used for the extraction of built-up areas in the framework of the symbolic machine learning classification. The results obtained with the proposed approach confirm the enhanced capabilities of discriminating built-up areas when using coherence information in comparison to two available global human settlement layers derived: (1) from Landsat optical data and (2) from Sentinel-1 ground range detected data and based on backscatter intensity σ° only. The experiment carried out in The Netherlands Randstad area is expected to be indicative of the results obtainable for urban areas having similar structures and types of built-up.
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.